PreQuEL: Quality Estimation of Machine Translation Outputs in Advance. - Shachar Don-Yehiya; Leshem Choshen; Omri Abend (EMNLP, 2022)

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. - Shachar Don-Yehiya; Elad Venezian; Colin Raffel; Noam Slonim; Yoav Katz; Leshem Choshen (CoRR, 2022)

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. - Shachar Don-Yehiya; Elad Venezian; Colin Raffel; Noam Slonim; Leshem Choshen (ACL (1), 2023)

Where to start? Analyzing the potential value of intermediate models. - Leshem Choshen; Elad Venezian; Shachar Don-Yehiya; Noam Slonim; Yoav Katz (EMNLP, 2023)

Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney. - Shachar Don-Yehiya; Leshem Choshen; Omri Abend (EMNLP, 2023)

Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI. - Elron Bandel; Yotam Perlitz; Elad Venezian; Roni Friedman; Ofir Arviv; Matan Orbach; Shachar Don-Yehiya; Dafna Sheinwald; Ariel Gera; Leshem Choshen; Michal Shmueli-Scheuer; Yoav Katz (NAACL (Demonstrations), 2024)

Learning from Naturally Occurring Feedback. - Shachar Don-Yehiya; Leshem Choshen; Omri Abend (CoRR, 2024)

The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community. - Shachar Don-Yehiya; Leshem Choshen; Omri Abend (CoRR, 2024)

The Future of Open Human Feedback. - Shachar Don-Yehiya; Ben Burtenshaw; Ramón Fernandez Astudillo; Cailean Osborne; Mimansa Jaiswal; Tzu-Sheng Kuo; Wenting Zhao; Idan Shenfeld; Andi Peng; Mikhail Yurochkin; Atoosa Kasirzadeh; Yangsibo Huang; et al. (CoRR, 2024)